SBIR-STTR Award

Our concept layers a number of emerging technologies to address DoD procurement issues facing USAF & DLA for structural replacement parts, particularly aging fighter jets and long-range bombers. This is accomplished by connecting (1) an encrypted private distributed ledger (blockchain) that contains critical, sensitive manufacturing codes generated by CAD programs with (2) an A.I. based set of algorithms. The A.I. analyzes current and projected DoD procurement needs using propriety algorithms to identify parts that could be accelerated through its system. The system seamlessly connects via encrypted P2P protocol via an Internet-of-Things array of 3D modern CNC machines. The manufacturing capacity is maintained by existing, vetted small business manufacturers whom seek to maximize spare machine capacity in production schedules.

Leading emergent technologies of AI, Blockchain, and Internet of Things have the potential to create solutions that were not technically possible five years ago. When combined, these technologies can solve supply chain problems that have beleaguered USAF sustainment efforts. The objective of this research project is to continue development of the Odysseus procurement technology framework that layers couples IoT with Blockchain within an AI construct using encrypted transfer protocols. In Phase I, feasibility of novel use of this technology framework was demonstrated. Phase II will pursue development of a system of machine learning algorithms and models for CNC machines that are interconnected and have accessibility to the cloud computing for storing and processing the censorial data, manufacturing parameter data, productivity data, and maintenance and service data. The AI core containing the learning algorithms will create an improved USAF User experience and system analysis product for market research. This system can be used to make a breakthrough for new product development, as well as for maintenance of aging aircraft systems.